Abstract:

With the increasing level of lithium-ion battery industrial manufacturing, the requirements for the detection speed and accuracy of battery components are also increasing. As a key component of lithium-ion batteries, the pole piece has a wide variety of surface defects and a small area, and the traditional visual inspection has been difficult to meet the current production needs of the pole piece. The surface defect detection technology of lithium battery based on image processing can solve the above problems well, and the research of this technology is analyzed and reviewed in this paper. Firstly, the development of lithium battery surface defect detection technology is introduced, and then the lithium battery surface defect detection process under electronic image processing technology is explained in detail from each link, including image acquisition, preprocessing, feature extraction and recognition. Through practical research, it can be confirmed that through high-quality image processing and analysis algorithms, lithium battery defects can be detected more accurately, which is suitable for the current industrial production needs.

Key words: lithium battery, flaw, detect, gather